Skip to content

Life Expectancy in Argentina vs Hungary (1950-2026)

Updated on by Georank team

The average life expectancy at birth is 77.8 years in Argentina vs 77.5 in Hungary. Argentina is ranked 66/197 by life expectancy, and Hungary is 69/197. In Argentina, the life expectancy is 75.3 years for males and 80.3 years for females. In Hungary, it's 74.3 years for males and 80.6 years for females.

Argentina vs Hungary life expectancy at birth by year

Argentina
Male

Female
Hungary
Male

Female
1x
Year Life expectancy, years
Argentina Hungary
Average Male Female Average Male Female
2026 77.8 75.3 80.3 77.5 74.3 80.6
2025 77.7 75.1 80.2 77.3 74.1 80.5
2024 77.5 75 80 77.2 73.9 80.3
2023 77.4 74.8 79.9 77 73.7 80.2
2022 75.8 73.2 78.3 76.2 72.8 79.5
2021 73.9 71.1 76.9 74.2 70.8 77.6
2020 75.9 73 78.8 75.7 72.3 79
2019 76.8 74.2 79.4 76.5 73.1 79.7
2018 76.8 74 79.5 76.2 72.7 79.5
2017 76.5 73.8 79.2 76 72.6 79.3
2016 76.1 73 79.1 76.2 72.6 79.6
2015 76.6 73.4 79.8 75.7 72.2 78.9
2014 76.3 73.3 79.2 75.8 72.3 79.2
2013 75.8 73 78.6 75.7 72.1 79
2012 75.8 72.9 78.7 75.2 71.6 78.6
2011 76.1 72.7 79.4 74.9 71.1 78.5
2010 75.7 72.5 78.7 74.5 70.6 78.3
2009 75.6 72.4 78.6 74.2 70.1 78.1
2008 75.4 72.2 78.6 74 69.8 78
2007 74.8 71.6 77.9 73.4 69.3 77.5
2006 75.3 72 78.4 73.3 69.1 77.5
2005 75.2 71.8 78.6 72.9 68.6 77.1
2004 74.9 71.5 78.2 72.9 68.7 77.1
2003 74.3 70.8 77.8 72.5 68.3 76.7
2002 74.3 70.7 77.9 72.5 68.3 76.7
2001 74.2 70.6 77.6 72.4 68.2 76.6
2000 73.9 70.5 77.3 71.8 67.5 76
1999 73.7 70.3 77.1 71 66.7 75.5
1998 73.4 69.9 76.9 70.9 66.4 75.5
1997 73.4 70 76.8 71 66.6 75.5
1996 73.1 69.7 76.4 70.6 66.3 75
1995 72.9 69.5 76.2 70 65.4 74.7
1994 72.7 69.5 75.9 69.6 65 74.5
1993 72.3 68.9 75.7 69.2 64.7 74
1992 72.1 68.7 75.5 69.2 64.7 73.9
1991 72 68.7 75.3 69.4 65.1 74
1990 71.6 68.3 74.9 69.4 65.1 73.8
1989 71.5 68 75 69.4 65.2 73.7
1988 71.1 67.6 74.6 69.9 66 74
1987 70.7 67.3 74.2 69.6 65.6 73.7
1986 70.3 66.9 73.8 69.1 65.2 73.2
1985 69.9 66.5 73.4 68.9 65 73
1984 69.4 66.1 72.8 69 65 73.1
1983 69.3 66 72.7 68.9 65.1 73
1982 69 65.6 72.6 69.4 65.6 73.2
1981 68.9 65.5 72.4 69.2 65.5 72.9
1980 68.6 65.3 72 69.1 65.5 72.8
1979 68.4 65.1 72 69.7 66.2 73.2
1978 68 64.5 71.7 69.5 66.2 72.8
1977 67.6 63.9 71.6 69.9 66.8 73.1
1976 67 63.4 71 69.7 66.7 72.6
1975 67 63.4 70.9 69.4 66.3 72.5
1974 66.4 62.8 70.4 69.3 66.3 72.2
1973 66.2 62.7 70.1 69.6 66.6 72.5
1972 66 62.5 69.8 69.7 66.8 72.6
1971 65.6 62.2 69.4 69.1 66.1 72.1
1970 65.6 62.2 69.6 69.2 66.3 72.1
1969 65.1 61.6 69.1 69.4 66.7 72
1968 65.2 61.8 69.2 69.3 66.7 72
1967 65.5 62.1 69.3 69.5 66.8 72
1966 65.4 62.2 69.1 69.9 67.5 72.2
1965 65.1 61.8 68.8 69.1 66.7 71.5
1964 64.8 61.6 68.5 69.5 67 71.9
1963 64.9 61.6 68.6 68.9 66.6 71.2
1962 64.6 61.5 68.3 67.9 65.7 70.1
1961 64.6 61.5 68.2 69 66.8 71.2
1960 64.2 61.2 67.8 68.1 65.9 70.2
1959 64.1 61.2 67.4 67.3 65.1 69.5
1958 64.2 61.4 67.4 67.4 65.3 69.5
1957 63.2 60.5 66.5 66.3 64.1 68.5
1956 63.6 60.8 66.9 66 63.5 68.4
1955 62.7 59.9 66.1 66.9 64.9 68.8
1954 63.1 60.4 66.2 65.4 63.5 67.3
1953 62.5 59.7 65.8 63.9 61.8 65.9
1952 62.5 60 65.4 63.9 61.6 66.2
1951 61.7 59.2 64.7 62.5 60.2 64.8
1950 61.3 58.7 64.3 62.1 59.9 64.3

Data sources: United Nations | World Population Prospects (1950–2026, retrieved 2026-03-10).

GeoRank.org/life-expectancy/argentina/hungary | CC BY

Life expectancy is the average age of death for a hypothetical cohort of newborns if they experienced the age-specific mortality rates of one particular year throughout their entire lives. It's a snapshot reflecting mortality rates in a given year that does not account for any future changes in those rates.

Healthy life expectancy at birth, defined by the World Health Organization as the average number of years a person can expect to live in full health, is 64.8 years in Argentina and 64.8 in Hungary. People who reach age 60 can expect an additional 15 healthy years in Argentina and 14 in Hungary.

Argentina vs Hungary life expectancy calculator

This life expectancy calculator shows the odds of living to 100, 95, 90, and below based on current age for both males and females in Argentina and Hungary, along with mean and median age of death. The calculations are based on the 2026 life tables (actuarial tables) from the UN World Population Prospects.


Mean remaining life expectancy:
49.4 vs 48.1 years

Mean expected age of death:
79.4 vs 78.1 years

Median expected age of death:
81.7 vs 80.6 years

Odds of living to

Target age Survival probability
Argentina Hungary
Male Female Male Female
40 98.6% 99.1% 99.0% 99.5%
50 95.9% 97.2% 95.9% 98.0%
60 89.2% 92.9% 85.7% 93.2%
65 82.9% 88.9% 77.0% 88.9%
70 73.9% 83.2% 66.5% 83.0%
75 62.1% 75.1% 54.5% 74.9%
80 47.1% 63.5% 40.4% 62.5%
85 29.8% 46.8% 24.9% 44.0%
90 14.9% 27.5% 11.6% 23.4%
95 5.2% 11.3% 3.3% 7.8%
100 1.1% 2.8% 0.5% 1.3%

Life expectancy by current age

Argentina
Male

Female
Hungary
Male

Female
1x
Current age, years Total life expectancy, years
Argentina Hungary
Average Male Female Average Male Female
100 102.6 102.3 102.7 102.1 102 102.2
99 101.7 101.4 101.8 101.2 101.1 101.3
98 100.8 100.6 100.9 100.3 100.2 100.4
97 100 99.8 100.1 99.5 99.4 99.5
96 99.2 99 99.3 98.6 98.5 98.7
95 98.4 98.2 98.5 97.8 97.7 97.9
94 97.6 97.3 97.7 97 96.9 97.1
93 96.9 96.6 97 96.3 96.1 96.3
92 96.1 95.8 96.3 95.5 95.3 95.6
91 95.4 95 95.6 94.8 94.5 94.8
90 94.7 94.3 94.9 94 93.8 94.1
89 94 93.6 94.2 93.4 93.1 93.5
88 93.4 92.9 93.6 92.7 92.4 92.8
87 92.7 92.2 93 92.1 91.7 92.2
86 92.1 91.5 92.4 91.4 91 91.6
85 91.5 90.8 91.8 90.8 90.4 91
84 90.9 90.2 91.3 90.2 89.7 90.5
83 90.3 89.5 90.8 89.7 89.1 89.9
82 89.8 88.9 90.3 89.1 88.5 89.4
81 89.3 88.3 89.8 88.6 87.9 89
80 88.8 87.8 89.4 88.1 87.4 88.5
79 88.3 87.2 89 87.7 86.8 88.1
78 87.9 86.7 88.6 87.2 86.3 87.7
77 87.4 86.2 88.3 86.8 85.8 87.4
76 87 85.8 87.9 86.4 85.3 87
75 86.6 85.3 87.6 86 84.8 86.7
74 86.3 84.9 87.3 85.6 84.4 86.4
73 85.9 84.5 87 85.3 83.9 86.1
72 85.5 84.1 86.7 84.9 83.5 85.9
71 85.2 83.7 86.4 84.6 83 85.6
70 84.9 83.3 86.1 84.2 82.6 85.4
69 84.6 82.9 85.9 83.9 82.2 85.1
68 84.2 82.6 85.6 83.6 81.8 84.9
67 83.9 82.2 85.4 83.2 81.4 84.6
66 83.7 81.9 85.2 82.9 81 84.4
65 83.4 81.6 84.9 82.6 80.5 84.2
64 83.1 81.3 84.7 82.3 80.1 84
63 82.9 81 84.5 82 79.8 83.8
62 82.7 80.7 84.3 81.7 79.4 83.6
61 82.4 80.5 84.2 81.4 79.1 83.4
60 82.2 80.3 84 81.2 78.7 83.2
59 82 80 83.8 80.9 78.4 83
58 81.8 79.8 83.7 80.7 78.1 82.8
57 81.7 79.6 83.5 80.4 77.8 82.7
56 81.5 79.4 83.4 80.2 77.5 82.5
55 81.3 79.3 83.3 80 77.3 82.4
54 81.2 79.1 83.1 79.8 77.1 82.3
53 81.1 78.9 83 79.6 76.8 82.2
52 80.9 78.8 82.9 79.5 76.6 82
51 80.8 78.7 82.8 79.3 76.5 82
50 80.7 78.5 82.7 79.2 76.3 81.9
49 80.6 78.4 82.6 79.1 76.1 81.8
48 80.5 78.3 82.5 79 76 81.7
47 80.4 78.2 82.5 78.9 75.9 81.6
46 80.3 78.1 82.4 78.8 75.8 81.6
45 80.2 78 82.3 78.7 75.7 81.5
44 80.2 77.9 82.2 78.6 75.6 81.5
43 80.1 77.9 82.2 78.6 75.5 81.4
42 80 77.8 82.1 78.5 75.5 81.4
41 80 77.7 82.1 78.5 75.4 81.3
40 79.9 77.6 82 78.4 75.4 81.3
39 79.8 77.6 82 78.4 75.3 81.3
38 79.8 77.5 81.9 78.3 75.3 81.3
37 79.7 77.5 81.9 78.3 75.2 81.2
36 79.7 77.4 81.8 78.3 75.2 81.2
35 79.6 77.3 81.8 78.2 75.1 81.2
34 79.6 77.3 81.7 78.2 75.1 81.1
33 79.5 77.2 81.7 78.2 75.1 81.1
32 79.5 77.2 81.7 78.1 75 81.1
31 79.4 77.1 81.6 78.1 75 81.1
30 79.4 77 81.6 78.1 75 81.1
29 79.3 77 81.6 78.1 74.9 81.1
28 79.3 76.9 81.5 78 74.9 81
27 79.2 76.9 81.5 78 74.9 81
26 79.2 76.8 81.5 78 74.8 81
25 79.1 76.7 81.4 78 74.8 81
24 79.1 76.7 81.4 78 74.8 81
23 79.1 76.6 81.4 77.9 74.8 81
22 79 76.6 81.4 77.9 74.7 81
21 79 76.5 81.3 77.9 74.7 81
20 78.9 76.4 81.3 77.9 74.7 81
19 78.9 76.3 81.3 77.9 74.7 80.9
18 78.8 76.3 81.2 77.8 74.6 80.9
17 78.8 76.2 81.2 77.8 74.6 80.9
16 78.7 76.2 81.2 77.8 74.6 80.9
15 78.7 76.2 81.2 77.8 74.6 80.9
14 78.7 76.2 81.2 77.8 74.6 80.9
13 78.7 76.1 81.1 77.8 74.6 80.9
12 78.7 76.1 81.1 77.8 74.6 80.9
11 78.7 76.1 81.1 77.8 74.6 80.9
10 78.6 76.1 81.1 77.8 74.6 80.9
9 78.6 76.1 81.1 77.8 74.5 80.9
8 78.6 76.1 81.1 77.8 74.5 80.9
7 78.6 76.1 81.1 77.8 74.5 80.9
6 78.6 76.1 81.1 77.8 74.5 80.9
5 78.6 76 81.1 77.8 74.5 80.9
4 78.6 76 81 77.7 74.5 80.9
3 78.6 76 81 77.7 74.5 80.8
2 78.5 76 81 77.7 74.5 80.8
1 78.5 76 81 77.7 74.5 80.8
0 77.8 75.3 80.3 77.5 74.3 80.6

Data sources: United Nations | World Population Prospects (2026, retrieved 2026-03-10).

GeoRank.org/life-expectancy/argentina/hungary | CC BY

Life expectancy is often mistaken for the average lifespan of an adult. However, an adult has already survived the causes of early-age mortality and can expect to live longer than the figure calculated at birth.

A 30-year-old in Argentina can expect to live to 79.4 years compared to 78.1 in Hungary, rising to 83.4 and 82.6 at 65, and to 88.8 and 88.1 at 80 — higher than the 77.8 and 77.5 years calculated at birth.

The chart above accounts for remaining lifespan and displays total life expectancy by age and gender in Argentina and Hungary.

Probability of surviving to a given age

Argentina
Male

Female
Hungary
Male

Female
1x
Age Survival probability
Argentina Hungary
Average Male Female Average Male Female
100 1.96% 1.06% 2.73% 0.94% 0.51% 1.3%
99 2.74% 1.52% 3.8% 1.43% 0.79% 1.99%
98 3.74% 2.11% 5.15% 2.12% 1.18% 2.92%
97 4.98% 2.88% 6.8% 3.03% 1.71% 4.17%
96 6.48% 3.84% 8.79% 4.21% 2.42% 5.76%
95 8.24% 5.01% 11.1% 5.67% 3.31% 7.72%
94 10.3% 6.42% 13.7% 7.46% 4.44% 10.1%
93 12.6% 8.07% 16.6% 9.59% 5.84% 12.9%
92 15.1% 9.97% 19.8% 12% 7.51% 16%
91 18% 12.1% 23.3% 14.8% 9.39% 19.5%
90 21% 14.5% 26.9% 17.7% 11.5% 23.2%
89 24.2% 17% 30.7% 20.8% 13.8% 27.2%
88 27.5% 19.8% 34.6% 24.1% 16.3% 31.2%
87 30.8% 22.7% 38.4% 27.5% 18.9% 35.4%
86 34.3% 25.8% 42.2% 31% 21.7% 39.6%
85 37.7% 29% 45.9% 34.6% 24.6% 43.7%
84 41.2% 32.3% 49.5% 38.1% 27.6% 47.8%
83 44.6% 35.7% 53% 41.6% 30.7% 51.7%
82 47.9% 39.2% 56.3% 44.9% 33.7% 55.4%
81 51.1% 42.5% 59.4% 48.2% 36.8% 58.9%
80 54.2% 45.8% 62.3% 51.3% 39.9% 62.1%
79 57.1% 49% 65% 54.3% 42.9% 65%
78 59.8% 52.1% 67.4% 57% 45.7% 67.7%
77 62.4% 55% 69.7% 59.6% 48.6% 70.1%
76 64.8% 57.7% 71.8% 62.1% 51.3% 72.4%
75 67.1% 60.4% 73.7% 64.4% 53.9% 74.4%
74 69.2% 62.9% 75.5% 66.5% 56.4% 76.3%
73 71.3% 65.3% 77.2% 68.6% 58.9% 78%
72 73.2% 67.5% 78.8% 70.5% 61.2% 79.6%
71 75% 69.7% 80.3% 72.4% 63.5% 81.1%
70 76.7% 71.8% 81.6% 74.2% 65.8% 82.5%
69 78.3% 73.8% 82.9% 75.9% 67.9% 83.8%
68 79.9% 75.7% 84.1% 77.5% 70.1% 85%
67 81.3% 77.4% 85.2% 79.2% 72.1% 86.2%
66 82.6% 79.1% 86.3% 80.7% 74.1% 87.3%
65 83.9% 80.6% 87.2% 82.2% 76.1% 88.3%
64 85.1% 82% 88.1% 83.6% 78.1% 89.3%
63 86.1% 83.4% 89% 85% 79.9% 90.2%
62 87.1% 84.6% 89.8% 86.3% 81.6% 91%
61 88.1% 85.7% 90.5% 87.5% 83.2% 91.8%
60 88.9% 86.7% 91.1% 88.6% 84.8% 92.6%
59 89.7% 87.7% 91.8% 89.7% 86.2% 93.3%
58 90.4% 88.5% 92.3% 90.6% 87.5% 93.9%
57 91.1% 89.3% 92.8% 91.6% 88.8% 94.5%
56 91.7% 90.1% 93.3% 92.4% 89.9% 95%
55 92.2% 90.7% 93.7% 93.2% 91% 95.5%
54 92.7% 91.3% 94.1% 93.9% 91.9% 96%
53 93.1% 91.9% 94.5% 94.5% 92.8% 96.4%
52 93.6% 92.4% 94.8% 95.1% 93.5% 96.7%
51 93.9% 92.8% 95.1% 95.6% 94.2% 97%
50 94.3% 93.2% 95.4% 96% 94.8% 97.3%
49 94.6% 93.6% 95.7% 96.4% 95.3% 97.6%
48 94.9% 93.9% 95.9% 96.8% 95.8% 97.8%
47 95.2% 94.3% 96.2% 97.1% 96.2% 98%
46 95.4% 94.6% 96.4% 97.3% 96.5% 98.1%
45 95.7% 94.8% 96.5% 97.5% 96.8% 98.3%
44 95.9% 95% 96.7% 97.7% 97.1% 98.4%
43 96.1% 95.3% 96.9% 97.9% 97.3% 98.5%
42 96.2% 95.5% 97% 98% 97.5% 98.6%
41 96.4% 95.7% 97.2% 98.2% 97.7% 98.7%
40 96.5% 95.8% 97.3% 98.3% 97.8% 98.8%
39 96.7% 96% 97.4% 98.4% 98% 98.9%
38 96.8% 96.2% 97.5% 98.5% 98.1% 99%
37 96.9% 96.3% 97.6% 98.6% 98.2% 99%
36 97.1% 96.5% 97.7% 98.7% 98.3% 99.1%
35 97.2% 96.6% 97.8% 98.8% 98.4% 99.1%
34 97.3% 96.7% 97.9% 98.8% 98.5% 99.2%
33 97.4% 96.9% 98% 98.9% 98.6% 99.2%
32 97.5% 97% 98% 99% 98.7% 99.3%
31 97.6% 97.1% 98.1% 99% 98.8% 99.3%
30 97.7% 97.2% 98.2% 99.1% 98.8% 99.3%
29 97.8% 97.3% 98.2% 99.1% 98.9% 99.4%
28 97.9% 97.5% 98.3% 99.2% 99% 99.4%
27 97.9% 97.6% 98.3% 99.2% 99% 99.4%
26 98% 97.7% 98.4% 99.3% 99.1% 99.4%
25 98.1% 97.8% 98.4% 99.3% 99.1% 99.4%
24 98.2% 97.9% 98.5% 99.3% 99.2% 99.5%
23 98.3% 98% 98.5% 99.4% 99.2% 99.5%
22 98.4% 98.2% 98.6% 99.4% 99.3% 99.5%
21 98.5% 98.3% 98.6% 99.4% 99.3% 99.5%
20 98.5% 98.4% 98.7% 99.5% 99.4% 99.5%
19 98.6% 98.5% 98.7% 99.5% 99.4% 99.6%
18 98.7% 98.6% 98.8% 99.5% 99.5% 99.6%
17 98.8% 98.7% 98.8% 99.5% 99.5% 99.6%
16 98.8% 98.8% 98.8% 99.6% 99.5% 99.6%
15 98.8% 98.8% 98.9% 99.6% 99.5% 99.6%
14 98.9% 98.9% 98.9% 99.6% 99.6% 99.6%
13 98.9% 98.9% 98.9% 99.6% 99.6% 99.6%
12 98.9% 98.9% 98.9% 99.6% 99.6% 99.6%
11 98.9% 98.9% 99% 99.6% 99.6% 99.6%
10 98.9% 98.9% 99% 99.6% 99.6% 99.7%
9 99% 98.9% 99% 99.6% 99.6% 99.7%
8 99% 99% 99% 99.6% 99.6% 99.7%
7 99% 99% 99% 99.7% 99.6% 99.7%
6 99% 99% 99% 99.7% 99.6% 99.7%
5 99% 99% 99% 99.7% 99.6% 99.7%
4 99% 99% 99.1% 99.7% 99.7% 99.7%
3 99.1% 99.1% 99.1% 99.7% 99.7% 99.7%
2 99.1% 99.1% 99.1% 99.7% 99.7% 99.7%
1 99.1% 99.1% 99.2% 99.7% 99.7% 99.7%

Data sources: United Nations | World Population Prospects (2026, retrieved 2026-03-10).

GeoRank.org/life-expectancy/argentina/hungary | CC BY

This chart shows the odds of living to each age from birth. 88.9% of newborns in Argentina and 88.6% in Hungary are expected to live past 60, 76.7% and 74.2% past 70, 54.2% and 51.3% past 80, and only 21% and 17.7% past 90.

For longevity rates starting from a different age, use the calculator provided above.

Compare countries by 7 more topics

Odds of dying at each age

Argentina
Male

Female
Hungary
Male

Female
1x
Age Probability of dying
Argentina Hungary
Average Male Female Average Male Female
100 30.3% 31.7% 30% 36.8% 37.4% 36.6%
99 28.6% 30% 28.2% 34.6% 35.3% 34.4%
98 26.7% 28.3% 26.2% 32.3% 33.2% 32.1%
97 24.9% 26.6% 24.4% 30.2% 31.2% 29.9%
96 23.1% 25% 22.6% 28% 29.2% 27.6%
95 21.4% 23.4% 20.7% 25.8% 26.9% 25.4%
94 19.8% 21.9% 19% 24% 25.4% 23.5%
93 18.3% 20.5% 17.5% 22.2% 24.1% 21.6%
92 17% 19% 16.2% 20.3% 22.1% 19.7%
91 15.7% 17.6% 15% 18.4% 20% 17.8%
90 14.4% 16.3% 13.6% 16.7% 18.3% 16.1%
89 13.2% 15.1% 12.3% 15% 16.7% 14.4%
88 12% 13.9% 11.1% 13.6% 15.3% 12.9%
87 10.9% 12.9% 9.97% 12.4% 14% 11.8%
86 10% 12% 8.98% 11.3% 12.8% 10.6%
85 9.16% 11.1% 8.1% 10.2% 11.8% 9.49%
84 8.39% 10.3% 7.3% 9.27% 10.9% 8.51%
83 7.66% 9.51% 6.56% 8.38% 9.98% 7.59%
82 6.96% 8.73% 5.87% 7.51% 9.13% 6.67%
81 6.29% 7.95% 5.23% 6.77% 8.41% 5.89%
80 5.66% 7.2% 4.64% 6.09% 7.68% 5.2%
79 5.08% 6.49% 4.11% 5.4% 6.91% 4.53%
78 4.56% 5.85% 3.65% 4.84% 6.33% 3.95%
77 4.11% 5.28% 3.26% 4.38% 5.85% 3.48%
76 3.72% 4.78% 2.92% 3.94% 5.31% 3.09%
75 3.38% 4.36% 2.64% 3.55% 4.81% 2.75%
74 3.1% 3.99% 2.4% 3.24% 4.45% 2.45%
73 2.85% 3.67% 2.19% 2.99% 4.15% 2.21%
72 2.63% 3.39% 2% 2.77% 3.88% 2.01%
71 2.43% 3.13% 1.83% 2.58% 3.63% 1.82%
70 2.24% 2.9% 1.68% 2.4% 3.4% 1.67%
69 2.07% 2.68% 1.54% 2.25% 3.19% 1.56%
68 1.91% 2.47% 1.42% 2.14% 3.02% 1.47%
67 1.76% 2.28% 1.3% 2.02% 2.87% 1.37%
66 1.62% 2.08% 1.2% 1.88% 2.71% 1.23%
65 1.49% 1.9% 1.11% 1.81% 2.63% 1.14%
64 1.37% 1.74% 1.03% 1.75% 2.53% 1.09%
63 1.25% 1.58% 0.95% 1.61% 2.29% 1.02%
62 1.15% 1.44% 0.87% 1.47% 2.05% 0.94%
61 1.05% 1.31% 0.8% 1.38% 1.94% 0.87%
60 0.96% 1.19% 0.73% 1.28% 1.8% 0.8%
59 0.87% 1.08% 0.67% 1.18% 1.65% 0.74%
58 0.79% 0.98% 0.61% 1.1% 1.54% 0.68%
57 0.72% 0.89% 0.55% 1.01% 1.42% 0.62%
56 0.65% 0.8% 0.5% 0.92% 1.28% 0.56%
55 0.59% 0.73% 0.46% 0.83% 1.14% 0.51%
54 0.54% 0.66% 0.42% 0.74% 1.02% 0.47%
53 0.49% 0.59% 0.38% 0.66% 0.91% 0.42%
52 0.44% 0.54% 0.35% 0.59% 0.81% 0.36%
51 0.41% 0.49% 0.32% 0.52% 0.72% 0.32%
50 0.37% 0.45% 0.3% 0.47% 0.64% 0.3%
49 0.34% 0.41% 0.28% 0.41% 0.56% 0.26%
48 0.31% 0.37% 0.25% 0.35% 0.48% 0.22%
47 0.28% 0.33% 0.23% 0.31% 0.41% 0.2%
46 0.26% 0.3% 0.21% 0.27% 0.35% 0.18%
45 0.23% 0.27% 0.19% 0.23% 0.3% 0.15%
44 0.21% 0.25% 0.18% 0.19% 0.26% 0.13%
43 0.2% 0.23% 0.16% 0.17% 0.22% 0.12%
42 0.18% 0.21% 0.15% 0.16% 0.2% 0.11%
41 0.17% 0.2% 0.14% 0.14% 0.18% 0.09%
40 0.16% 0.18% 0.13% 0.12% 0.16% 0.08%
39 0.15% 0.18% 0.12% 0.11% 0.14% 0.08%
38 0.14% 0.17% 0.11% 0.1% 0.13% 0.07%
37 0.13% 0.16% 0.11% 0.09% 0.12% 0.06%
36 0.12% 0.15% 0.1% 0.09% 0.12% 0.06%
35 0.12% 0.14% 0.09% 0.08% 0.11% 0.06%
34 0.11% 0.14% 0.08% 0.07% 0.1% 0.05%
33 0.11% 0.13% 0.08% 0.07% 0.09% 0.04%
32 0.1% 0.13% 0.07% 0.07% 0.09% 0.04%
31 0.1% 0.12% 0.07% 0.06% 0.08% 0.04%
30 0.09% 0.12% 0.06% 0.05% 0.07% 0.03%
29 0.09% 0.12% 0.06% 0.05% 0.07% 0.03%
28 0.09% 0.12% 0.06% 0.05% 0.07% 0.03%
27 0.09% 0.12% 0.06% 0.04% 0.06% 0.02%
26 0.09% 0.12% 0.05% 0.04% 0.06% 0.02%
25 0.09% 0.12% 0.05% 0.04% 0.05% 0.02%
24 0.09% 0.12% 0.05% 0.04% 0.05% 0.02%
23 0.09% 0.12% 0.05% 0.03% 0.05% 0.02%
22 0.09% 0.12% 0.05% 0.03% 0.04% 0.02%
21 0.09% 0.13% 0.05% 0.03% 0.04% 0.02%
20 0.09% 0.12% 0.05% 0.03% 0.05% 0.02%
19 0.08% 0.12% 0.05% 0.03% 0.05% 0.02%
18 0.07% 0.1% 0.04% 0.03% 0.04% 0.02%
17 0.06% 0.08% 0.04% 0.02% 0.03% 0.01%
16 0.05% 0.06% 0.04% 0.02% 0.02% 0.01%
15 0.04% 0.05% 0.03% 0.01% 0.02% 0.01%
14 0.03% 0.03% 0.03% 0.01% 0.02% 0.01%
13 0.02% 0.02% 0.02% 0.01% 0.01% 0.008%
12 0.02% 0.02% 0.02% 0.009% 0.01% 0.006%
11 0.02% 0.02% 0.02% 0.007% 0.008% 0.005%
10 0.01% 0.01% 0.01% 0.008% 0.009% 0.008%
9 0.01% 0.01% 0.01% 0.01% 0.01% 0.009%
8 0.01% 0.01% 0.01% 0.008% 0.01% 0.006%
7 0.01% 0.02% 0.01% 0.007% 0.007% 0.007%
6 0.02% 0.02% 0.02% 0.007% 0.006% 0.008%
5 0.02% 0.02% 0.02% 0.008% 0.009% 0.007%
4 0.02% 0.02% 0.02% 0.01% 0.01% 0.008%
3 0.03% 0.03% 0.03% 0.01% 0.01% 0.01%
2 0.03% 0.03% 0.04% 0.02% 0.02% 0.01%
1 0.04% 0.04% 0.05% 0.02% 0.02% 0.03%
0 0.85% 0.88% 0.83% 0.27% 0.29% 0.25%

Data sources: United Nations | World Population Prospects (2026, retrieved 2026-03-10).

GeoRank.org/life-expectancy/argentina/hungary | CC BY

This chart displays the probability of dying at any given age in Argentina compared to Hungary, as mortality rates vary throughout a lifetime.

The annual chance of dying is 0.85% in the birth year in Argentina and 0.27% in Hungary, 0.09% vs 0.05% at age 30, 0.96% vs 1.28% at 60, and 5.66% vs 6.09% at 80.

Death rate by age in Argentina vs Hungary

Argentina
Male

Female
Hungary
Male

Female
1x
Age Death rate
Argentina Hungary
Total Male Female Total Male Female
100 520 252.3 745 217.8 97.2 320
99 784 455 1,070 495 277.8 683
98 998 599 1,350 684 391 938
97 1,238 767 1,658 915 535 1,245
96 1,497 959 1,982 1,180 706 1,592
95 1,759 1,172 2,297 1,464 892 1,963
94 2,028 1,408 2,604 1,787 1,128 2,368
93 2,300 1,654 2,907 2,133 1,406 2,782
92 2,573 1,898 3,211 2,445 1,662 3,153
91 2,825 2,133 3,482 2,712 1,880 3,470
90 3,023 2,357 3,661 2,952 2,096 3,745
89 3,178 2,564 3,776 3,133 2,304 3,918
88 3,294 2,752 3,833 3,276 2,490 4,033
87 3,373 2,926 3,829 3,416 2,642 4,164
86 3,425 3,083 3,789 3,500 2,779 4,202
85 3,453 3,220 3,720 3,529 2,901 4,148
84 3,451 3,329 3,616 3,532 2,998 4,063
83 3,414 3,399 3,478 3,485 3,058 3,921
82 3,336 3,417 3,307 3,376 3,081 3,693
81 3,218 3,382 3,106 3,263 3,096 3,467
80 3,068 3,299 2,889 3,126 3,064 3,230
79 2,902 3,182 2,670 2,932 2,961 2,946
78 2,731 3,045 2,461 2,759 2,895 2,678
77 2,565 2,902 2,269 2,610 2,840 2,442
76 2,411 2,761 2,097 2,449 2,724 2,235
75 2,270 2,629 1,945 2,284 2,592 2,044
74 2,145 2,508 1,810 2,153 2,511 1,867
73 2,030 2,396 1,688 2,051 2,442 1,723
72 1,922 2,289 1,575 1,957 2,374 1,599
71 1,819 2,185 1,469 1,865 2,307 1,479
70 1,720 2,082 1,369 1,778 2,237 1,375
69 1,623 1,979 1,277 1,711 2,168 1,304
68 1,528 1,872 1,191 1,663 2,118 1,253
67 1,434 1,762 1,111 1,602 2,067 1,180
66 1,342 1,649 1,037 1,520 2,006 1,070
65 1,251 1,535 968 1,490 2,000 1,009
64 1,164 1,424 904 1,462 1,972 974
63 1,080 1,317 842 1,369 1,830 921
62 999 1,216 782 1,264 1,677 857
61 922 1,121 723 1,206 1,614 799
60 850 1,032 667 1,134 1,524 742
59 781 948 613 1,056 1,420 688
58 716 869 562 995 1,348 637
57 654 794 515 925 1,258 584
56 597 723 470 847 1,151 532
55 544 658 430 769 1,041 488
54 497 598 394 697 938 447
53 454 545 362 628 845 402
52 416 497 334 560 760 352
51 382 454 308 500 680 313
50 351 415 285.3 450 603 288.7
49 323 379 263.7 394 532 251
48 295.6 346 243.3 341 464 212.8
47 270.1 315 223.7 297.3 398 192.6
46 246.2 285.9 205.1 258.4 339 175.1
45 224.3 259.7 187.8 219.6 290.2 146.8
44 204.9 236.5 172.1 189.8 249.5 127.5
43 188.1 216.9 158.3 168.8 218.7 116.5
42 174.1 200.8 146.5 153.4 198.8 106
41 162.5 187.7 136.2 136.8 179 92.1
40 152.7 177.1 127.2 116.2 153 76.9
39 144 168 118.9 107 136.8 75
38 136.1 160 111.1 101.8 128.2 73.1
37 128.5 152.6 103.3 91.6 120.6 60.1
36 121.2 145.5 95.8 86.7 114 57.2
35 114.4 139 88.6 82.6 106.1 57.3
34 108.1 133 82 72.8 95 48.8
33 102.6 128 76.1 65.3 87.5 41.3
32 98.2 124.1 71.1 64.7 85.9 42
31 94.7 121.2 66.9 56.5 76.5 35
30 92 119.3 63.5 48.8 68.4 27.8
29 89.8 117.9 60.4 50.4 70.4 28.8
28 88 117 57.6 47.4 67.4 25.9
27 86.4 116.3 55.1 41.7 60.7 21.6
26 85.1 116 52.7 39.3 56 21.3
25 84.2 116.3 50.6 38.3 53.9 21.5
24 83.9 117.2 49 36.4 52.5 19.2
23 84.5 119.4 47.9 34.2 48.2 19.4
22 85.6 122 47.4 32.9 44.1 21.1
21 86.6 123.9 47.2 33 43.7 21.5
20 85.9 122.9 46.9 33.7 46.4 20.3
19 82 116.1 45.9 33.6 48.1 18.3
18 73.8 102.2 43.6 29.2 40.9 17
17 62.3 83.4 40 22.5 29.9 14.7
16 49.6 63.1 35.2 16.7 22.3 10.9
15 38.2 45.8 30.1 13.8 17.7 9.68
14 29.1 32.7 25.1 12.4 15.1 9.53
13 22.6 24.1 21 10.8 13.6 7.82
12 18.2 18.8 17.7 8.56 11.3 5.71
11 15.5 15.7 15.3 6.7 8.01 5.31
10 14 14.1 13.8 8.44 9.09 7.74
9 13.4 13.8 13 10.1 11.3 8.86
8 13.6 14.2 13.1 8.36 10.3 6.34
7 14.6 15.3 13.8 7.08 7.1 7.06
6 16.4 17.2 15.5 7.12 5.85 8.46
5 19 19.7 18.3 8.09 9.06 7.07
4 22.7 22.9 22.5 9.76 11.8 7.54
3 27.6 26.9 28.4 12.1 12.3 11.9
2 34.2 31.8 36.6 16.1 20.1 12
1 42.6 37.8 47.7 24.7 23.2 26.3
0 851 876 826 271.5 290.3 251.6

Data sources: United Nations | World Population Prospects (2026, retrieved 2026-03-10).

GeoRank.org/life-expectancy/argentina/hungary | CC BY

This chart shows the number of deaths by age up to 100 for 3 cohorts of 100,000 newborns each — male, female, and both combined — illustrating how expected mortality is distributed throughout life.

In Argentina, the most common age of death is 85, compared to 84 in Hungary. The median age of death is 81.4 in Argentina and 80.4 in Hungary, meaning only half of each cohort is expected to live past that age.

Note that this chart does not show rates per 100,000 population, as those would be skewed by age structure differences and reflect the demographics of Argentina and Hungary more than their death rates.

Life expectancy in other countries

1x

Data sources: United Nations | World Population Prospects (1960–2026, retrieved 2026-03-10).

GeoRank.org/life-expectancy/argentina/hungary | CC BY

Help us show the world through your eyes

Share a photo of your city and help others discover what it looks like to live there. Your contribution makes our data come alive.

Data sources:

  1. United Nations | World Population Prospects (1950–2026, retrieved 2026-03-10)
  2. World Health Organization (WHO) | Global Health Observatory (2021, retrieved 2026-02-08)

Creative Commons Attribution (CC BY) — you’re free to copy, share, remix, adapt, and use even commercially as long as you give appropriate credit and clearly indicate if you made changes. Other sources may be subject to different license terms.